BeeX designs and operates autonomous underwater vehicles (AUVs) for offshore inspection, with a tech stack centered on robotics fundamentals: ROS, Python, C++, TensorFlow, and PyTorch. The hiring mix is heavily weighted toward engineering (12 roles) with significant intern/junior representation (14 of 27 active roles), signaling rapid scaling of core development capacity. Active projects span mechanical design, autonomy algorithms, and field trials, while pain points around manual pilot dependence and manufacturing efficiency suggest the company is transitioning from operator-reliant missions toward fully autonomous subsea operations.
BeeX builds and operates autonomous underwater drones for subsea asset integrity management and monitoring in offshore environments. The company positions itself as an Autonomous Robotics-as-a-Service provider, handling the full stack: vehicle design, software autonomy, field deployment, and data interpretation (sonar mosaics, point cloud visualization, structural anomaly detection). Core capabilities include hovering autonomous underwater vehicle (HAUV) platforms, visual inspection, cathodic protection monitoring, and pulse eddy current sensing. Based in Singapore with operations in the UK and Malaysia, BeeX serves maritime and offshore wind industries. The 11–50 employee team is actively hiring across engineering, operations, and manufacturing.
Python, C++, ROS (Robot Operating System), TensorFlow, PyTorch, OpenCV, SolidWorks, Autodesk, Docker, and Git. The stack reflects embedded and AI-heavy development typical of autonomous vehicle platforms.
Core projects include HAUV mechanical system design, autonomy operations concepts, software-in-the-loop simulation, power electronics for subsea systems, structural anomaly detection, and UK offshore wind deployment trials.
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